Literature DB >> 35730070

Contributors to Serum NfL Levels in People without Neurologic Disease.

Kathryn C Fitzgerald1,2, Elias S Sotirchos1, Matthew D Smith1, Hannah-Noelle Lord1, Anna DuVal1, Ellen M Mowry1,2, Peter A Calabresi1,3.   

Abstract

OBJECTIVE: To assess the effects of demographics, lifestyle factors, and comorbidities on serum neurofilament light chain (sNfL) levels in people without neurologic disease and establish demographic-specific reference ranges of sNfL.
METHODS: The National Health and Nutrition Examination Survey (NHANES) is a representative sample of the US population in which detailed information on demographic, lifestyle, routine laboratory tests, and overall health status are systematically collected. From stored serum samples, we measured sNfL levels using a novel high-throughput immunoassay (Siemens Healthineers). We evaluated the predictive capacity of 52 demographic, lifestyle, comorbidity, anthropometric, or laboratory characteristics in explaining variability in sNfL levels. Predictive performance was assessed using cross-validated R2 (R2 cv ) and forward selection was used to obtain a set of best predictors of sNfL levels. Adjusted reference ranges were derived incorporating characteristics using generalized additive models for location, scale, and shape.
RESULTS: We included 1,706 NHANES participants (average age: 43.6 ± 14.8 y; 50.6% male, 35% non-white) without neurological disorders. In univariate models, age explained the most variability in sNfL (R2 cv  = 26.8%). Multivariable prediction models for sNfL contained three covariates (in order of their selection): age, creatinine, and glycosylated hemoglobin (HbA1c) (standardized β-age: 0.46, 95% confidence interval [CI]: 0.43, 0.50; creatinine: 0.18, 95% CI: 0.13, 0.22; HbA1c: 0.09, 95% CI: 0.06, 0.11). Adjusted centile curves were derived incorporating identified predictors. We provide an interactive R Shiny application to translate our findings and allow other investigators to use the derived centile curves.
INTERPRETATION: Results will help to guide interpretation of sNfL levels as they relate to neurologic conditions. ANN NEUROL 2022;92:688-698.
© 2022 American Neurological Association.

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Year:  2022        PMID: 35730070      PMCID: PMC9489658          DOI: 10.1002/ana.26446

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   11.274


  28 in total

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Review 3.  Neurofilaments as biomarkers in neurological disorders.

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Journal:  Nat Rev Neurol       Date:  2018-10       Impact factor: 42.937

4.  Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation study.

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Journal:  Lancet Neurol       Date:  2022-03       Impact factor: 44.182

5.  BMI and Allostatic Load Are Directly Associated with Longitudinal Increase in Plasma Neurofilament Light among Urban Middle-Aged Adults.

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6.  Factors influencing serum neurofilament light chain levels in normal aging.

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7.  Development of a Highly Sensitive Neurofilament Light Chain Assay on an Automated Immunoassay Platform.

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Journal:  Front Neurol       Date:  2022-07-25       Impact factor: 4.086

8.  Serum neurofilament light levels in normal aging and their association with morphologic brain changes.

Authors:  Michael Khalil; Lukas Pirpamer; Edith Hofer; Margarete M Voortman; Christian Barro; David Leppert; Pascal Benkert; Stefan Ropele; Christian Enzinger; Franz Fazekas; Reinhold Schmidt; Jens Kuhle
Journal:  Nat Commun       Date:  2020-02-10       Impact factor: 14.919

9.  Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis.

Authors:  Pietro Maggi; Jens Kuhle; Sabine Schädelin; Franziska van der Meer; Matthias Weigel; Riccardo Galbusera; Amandine Mathias; Po-Jui Lu; Reza Rahmanzadeh; Pascal Benkert; Francesco La Rosa; Meritxell Bach Cuadra; Pascal Sati; Marie Théaudin; Caroline Pot; Vincent van Pesch; David Leppert; Christine Stadelmann; Ludwig Kappos; Renaud Du Pasquier; Daniel S Reich; Martina Absinta; Cristina Granziera
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10.  Temporal profile of serum neurofilament light in multiple sclerosis: Implications for patient monitoring.

Authors:  Peter A Calabresi; Douglas L Arnold; Dipen Sangurdekar; Carol M Singh; Arman Altincatal; Carl de Moor; Bob Engle; Jaya Goyal; Aaron Deykin; Suzanne Szak; Bernd C Kieseier; Richard A Rudick; Tatiana Plavina
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